Hassan Farzaneh; nemat sotodeh asl; reza kohsari; faezeh jahan
Abstract
Introduction: High risk behaviors are behaviors that endanger the health and well-being of adolescents and young people. The aim of this study was to present a causal model of tendency to high-risk behaviors based on religious attitudes and Parental Parenting Styles: mediated by time perspective.Methods: ...
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Introduction: High risk behaviors are behaviors that endanger the health and well-being of adolescents and young people. The aim of this study was to present a causal model of tendency to high-risk behaviors based on religious attitudes and Parental Parenting Styles: mediated by time perspective.Methods: The present study is descriptive-survey in terms of nature, application, quantitative type and in terms of process and method of data collection and analysis.. data analysis method, descriptive structural equation modeling. The statistical population of the study is all female high school students in Tehran in year 2019-2020 of 251,000 female.The sample was selected using Cochran's formula consisted of 383 people who were selected using cluster random sampling. To collect data, Bory Perceived Parenting Questionnaire (PAQ) (1991), Golriz & beraheni Religious Attitude Scale (1974), the Zimbardo Time Vision Questionnaire (ZTPI)(1999) and Zadeh Mohammadi et al Iranian Adolescents' Risk Scale (2011) Questionnaire were used.Result: The results indicate that the tendency to high-risk behavior based on religious attitudes is directly related. The tendency to risky behavior based on parenting style is directly related. The tendency to risky behavior based on religious attitudes is indirectly related to the mediation of the time perspective. Tendency to high-risk behavior based on parenting style is indirectly related to time perspective mediation.Conclusion: The results showed how interpersonal factors in a model affect the tendency to a variety of high-risk behaviors in adolescents. Finally, the results showed that the overall model of the research has a strong fit.
shayan matin; faezeh jahan
Volume 9, Issue 35 , January 2020, , Pages 67-88
Abstract
The purpose of this study was to predict social loneliness based on interpersonal sensitivity and social intelligence through self-critical mediation. The research design was correlation. The statistical population of this study was all of the students of Azad University of Tehran in 1397. The sample ...
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The purpose of this study was to predict social loneliness based on interpersonal sensitivity and social intelligence through self-critical mediation. The research design was correlation. The statistical population of this study was all of the students of Azad University of Tehran in 1397. The sample size of this study was 632 people who were selected by multistage cluster sampling. The Data collection tools were loneliness questionnaire (Russell, 1996), an interpersonal sensitivity questionnaire (Boyce & Popper, 1989), Social Intelligence Questionnaire (Tet, 2008) and Self-Critical Scale (Gilbert, Hampson, Miles & Irons, 2004. Data was analyzed with two SPSS and lisrel software. The data analysis method was structural equation modeling. The findings showed that the variables of self-critical and interpersonal sensitivity were significantly increased on these two constructs (T> 1.96). Self-critical effect on positive and significant social self-sufficiency, the effect of interpersonal sensitivity and social intelligence on social self sufficiency is negative and significant. Also, the effect of interpersonal sensitivity on positive and meaningful social loneliness and the effect of social intelligence on self-critical negativity and meaning. The effect of indirect structure of interpersonal sensitivity on social loneliness is positive and significant due to the self-critical variable, but the effect of indirect structure of social intelligence on loneliness is not critical and meaningful due to its own variable. The structural effects of the overall interpersonal sensitivity on social, positive and meaningful loneliness, and structural effects of the whole social intelligence on the loneliness of society are also negative and significant.